Connected automated mobility (CAM) is the integration of autonomous driving with advanced vehicle connectivity. This allows vehicles to communicate with each other, infrastructure, and pedestrians, aiming to improve transportation safety, efficiency, and sustainability. At Jonathan Lee Recruitment, we are committed to supporting the industry, keeping abreast of new skills, hiring and talent management needs for our customers at each stage of the journey towards the future of transport. Here are ten ways to bring CAM to life, with detailed examples and a focus on the critical role of recruitment in this evolution.
1. Develop advanced autonomous systems
Autonomous driving technology forms the backbone of CAM. Developing and refining these systems involves extensive research in AI and machine learning. For example, companies like Waymo and Tesla are pioneering self-driving technology, using vast amounts of data to train their systems to handle complex driving scenarios, such as navigating busy city streets or reacting to unpredictable pedestrian movements. Safety critical software skills are in short supply and the industry needs to continue working with educational establishments to ensure new talent is acquiring the skills needed for the future.
2. Implement vehicle-to-everything (V2X) communication
V2X technology enables vehicles to communicate with each other, traffic signals, and even pedestrians. This is essential for preventing accidents and optimising traffic flow. For instance, Audi has introduced a traffic light information system in some cities, allowing their cars to receive real-time data from traffic lights, helping drivers optimise their speed to reduce stops.
3. Invest in smart infrastructure
Building infrastructure equipped with sensors and communication devices is vital for CAM. Smart roads can provide real-time data to vehicles, helping them make better decisions. An example is the smart highway project in the Netherlands, where roads are embedded with sensors and solar panels, and LED lights illuminate the road based on traffic and weather conditions.
4. Enhance cyber security measures
Increased connectivity necessitates robust cyber security to protect data and ensure the integrity of CAM systems. Protecting against hacking and other cyber threats is critical. For example, the automotive cyber security company Argus provides solutions to safeguard vehicle networks, detecting and mitigating cyber threats in real-time to prevent unauthorised access to vehicle systems.
5. Establish comprehensive regulations and standards
Creating a regulatory framework that ensures safety and privacy while fostering innovation is crucial. Governments and industry must collaborate to develop these standards. The UK government has issued a code of practice for the testing and trialling of automated vehicle technologies and services in the UK, aiming to balance innovation with safety.
6. Promote public awareness and trust
Educating the public on the benefits and safety of CAM is essential for widespread adoption. Transparency and demonstration projects can help build this trust. For example, Uber conducted pilot programs for its autonomous vehicles in cities like Pittsburgh, offering free rides to residents and gathering feedback to improve the technology.
7. Foster industry collaboration
Collaboration between automotive manufacturers, tech companies, and infrastructure providers is necessary to develop and deploy CAM technologies effectively. The partnership between BMW, Intel, and Mobileye to develop self-driving car technology illustrates how industry collaboration can accelerate advancements in CAM.
8. Secure government support and funding
Government backing through grants and policies can accelerate CAM development. Supportive legislation can also address regulatory and infrastructure challenges. The UK Government, for instance, has invested heavily in autonomous vehicle testing and infrastructure, including the creation of test beds and funding for innovative CAM projects.
9. Pilot programs and real-world testing
Conducting pilot programs allows for real-world testing of CAM systems, providing valuable data and insights. For example, Google’s Waymo has been testing its autonomous vehicles in various cities, collecting data on how they perform in different environments and improving their technology based on real-world feedback.
10. Focus on recruitment
A skilled workforce is crucial for the successful implementation of CAM. This includes engineers, cyber security experts, urban planners, and AI specialists. Companies need to attract and retain top talent by offering competitive incentives and developing educational programs. Universities and technical colleges can play a pivotal role by offering specialised courses and degrees in fields related to CAM, ensuring a steady pipeline of qualified professionals.
Partnering with an automotive recruitment and EV recruitment specialist, such as Jonathan Lee Recruitment, can streamline this process by leveraging their expertise and extensive network. We can identify, engage and help you to attract top talent, ensuring you have the right people and skills to drive CAM initiatives forward.
How can we make Connected automated mobility happen?
Connected automated mobility is set to transform transportation, but achieving this vision requires a comprehensive approach. By advancing technology, building smart infrastructure, ensuring cyber security, establishing regulations, promoting public trust, fostering collaboration, securing funding, conducting pilot programs, and focusing on recruitment, we can make CAM a reality.
Recruitment, in particular, is crucial in assembling the diverse and skilled workforce needed to drive this innovation forward. Together, these efforts will pave the way for a safer, more efficient, and sustainable future in transportation.
Need help with automotive recruitment or EV recruitment or looking for a new role in these fields? Contact Jason Cole or visit the Jonathan Lee Recruitment stand at Cenex Expo 2024 – Stand C4-312.
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